Modeling naturalistic affective states via facial

Recurrent neural network Modality human—computer interaction Human-centered computing. The authors would like to thank all the participants who provided us psychobiological data for this study. The secondary objective was to investigate age differences in the EMG activity between senior and young adults in different affective states, and the same by gender. Neural Networks 18 4 , , The aim of feature extraction was to capture changes in the signals related to their amplitude, frequency, predictability, and variability. Affective science research has struggled to quantifiably measure the affective states of human beings, however [ 10 ]. Kollias , Christos Schizas:

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Modeling naturalistic affective states via facial, vocal, and bodily expressions recognition

For more information, visit the cookies page. Demiris , Philippe de Cuetos , Nikolaos Ioannidis: Kollias , Christos Schizas: The influence of neuroticism and psychological symptoms on the assessment of images in three dimensional emotion space. View Article Google Scholar. Biomedical Signal Processing and Control.

Modeling naturalistic affective states via facial, vocal, and bodily expressions recognition

One hundred and thirteen participants were subjected to these stimuli and provided facial EMG. Non-manual cues in automatic sign language recognition. A cross-cultural, multimodal, affective corpus for gesture expressivity analysis. Themis Balomenos , Athanasios I. The Expression of the Emotions in Man and Animals. Henrik Kessler for their kind help and advices on this article. Multimodal User Interfaces 7 3:
Journal of Personality and Social Psychology. Second, due to the sizeable and rapidly growing proportion of senior adults in many societies, particularly in Western countries, companion technology is highly desirable because of a shortage of qualified healthcare personnel [ 9 ]. Ginevra Castellano , Laurel D. One interesting finding of this study is that the classification accuracy for senior adults was significantly higher than that for young adults. Workshop on Shapes and Semantics, ,

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